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DATA SCIENCE REALIZED 2020

The MLOps Conference has moved online.

Join us to hear from industry experts as they share on our Live Webinar Series the challenges and practical solutions that involve running Al experiments at scale, delivery to production, and data access

This is not another data science conference about algorithms. The MLOps SF conference focuses on managing and automating machine learning pipelines, to bring data science into real business applications. The conference will go beyond theory, with industry leaders sharing painful machine learning experiences which involve running experiments at scale, versioning, delivery to production, reproducibility and data access.

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By

GET TO THE CORE OF
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KUBEFLOW AND OPEN SOURCE
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MLOPS
AUTOMATION
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ONLINE & OFFLINE FEATURE STORES
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PERFORMANCE AND SCALE
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EXPERIMENT & DATA TRACKING
LAST YEAR'S SPEAKERS
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WATCH THE TALKS FROM LAST YEAR

Solving the Complexity of Moving Data Science to Production — MLOps NYC19 Conference Panel

Iguazio (Acquired by McKinsey)
Solving the Complexity of Moving Data Science to Production — MLOps NYC19 Conference Panel
Search video...
Solving the Complexity of Moving Data Science to Production — MLOps NYC19 Conference Panel

Solving the Complexity of Moving Data Science to Production — MLOps NYC19 Conference Panel

45:41
Play Video
Best Practices for Multiplatform MLOps with Kubeflow and MLflow — MLOps NYC19 Conference Panel

Best Practices for Multiplatform MLOps with Kubeflow and MLflow — MLOps NYC19 Conference Panel

46:23
Play Video
Serverless for ML Pipelines from A to Z | Orit Nissan-Messing, Iguazio

Serverless for ML Pipelines from A to Z | Orit Nissan-Messing, Iguazio

24:19
Play Video
A BIG THANKS TO OUR 2019 SPONSORS
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EARLY BIRD
By April 1
STANDARD
By May 5
ON-SITE
May 6
$145
$195
$245
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